Use parLapply() instead of clusterCall() in jags.parallel(). (Again, I am not sure why the GitHub diff shows the whole file changed. I only changed a couple lines.)
Manage seeds on a chain-by-chain basis, not a core-by-core basis by pass the seed to .runjags().
Add a new testthat test (contributes to #1) to check that
jags.parallel() runs without error if n.chains is greater than n.cluster.
jags.parallel() returns an output object of class "rjags" with a BUGSoutput object of class "bugs".
The last parameter draws differ across chains (so each chain got its own seed).
The last parameter values are reproducible: repeated runs of jags.parallel() with the same seed produce identical sets of last values.
Fixes #4.
parLapply()instead ofclusterCall()injags.parallel(). (Again, I am not sure why the GitHub diff shows the whole file changed. I only changed a couple lines.).runjags().testthattest (contributes to #1) to check thatjags.parallel()runs without error ifn.chainsis greater thann.cluster.jags.parallel()returns an output object of class"rjags"with aBUGSoutputobject of class"bugs".jags.parallel()with the same seed produce identical sets of last values.